Peringkasan Dokumen dengan Metode Non-Negative Matrix Factorization

Authors

  • Herastia Maharani Departemen Teknik Informatika, Institut Teknologi Harapan Bangsa
  • Monica Sanjaya Departemen Teknik Informatika, Institut Teknologi Harapan Bangsa

DOI:

https://doi.org/10.61769/telematika.v8i2.71

Keywords:

Peringkasan, Dokumen teks, Non-negative matrix factorization

Abstract

Peringkasan dokumen teks merupakan pengambilan informasi dari sebuah dokumen teks dengan mengambil sebagian teks dalam dokumen yang dianggap mengandung informasi paling penting. Penelitian ini mengimplementasikan metode Non-negative Matrix Factorization (NMF) untuk melakukan peringkasan pada dokumen dalam bahasa Indonesia dan bahasa Inggris. Pengujian dilakukan dengan membandingkan hasil ringkasan metode NMF ini dengan hasil ringkasan yang diperoleh dari sebuah situs peringkasan.

 

Text document summarization is the process of extracting information from text document by selecting particular parts from the documents which are considered to have the most important information. This research used Non-negative Matrix Factorization (NMF) method to summarize documents written in Bahasa Indonesia and also in English. Evaluation is performed by comparing the summary extracted from NMF with summary obtained from a summarization website available on the internet.

Author Biographies

Herastia Maharani, Departemen Teknik Informatika, Institut Teknologi Harapan Bangsa

Herastia Maharani menyelesaikan pendidikan sarjana di Departemen Teknik Informatika Institut Teknologi Bandung di tahun 2005, dan meraih gelar Magister Informatika di Institut Teknologi Bandung tahun 2010. Saat ini penulis bekerja sebagai staf pengajar di Institut Teknologi Harapan Bangsa, Bandung. Bidang ilmu dan area penelitian yang ditekuni penulis adalah data mining dan information retrieval. Bidang lain yang saat ini sedang dipelajari oleh penulis adalah social network analysis.

Monica Sanjaya, Departemen Teknik Informatika, Institut Teknologi Harapan Bangsa

Monica Sanjaya, mahasiswa Teknik Informatika Institut Teknologi Harapan Bangsa yang lulus pada tahun 2013.

References

A. Jelita. Effective Techniques for Indonesian Text Retrieval. Melbourne: RMIT University. 2007.

A. Yuliawati. Implementasi Peringkas Otomatis pada Dokumen Terstruktur dengan Metode Faktorisasi Matriks Nonnegative. Surabaya: ITS, 2011.

D. D. Lee and H. S. Seung. "Algorithm for non-negative matrix Factorization." Advance in Neural Information Processing Systems, 13, 556-562. 2001

J. H. Lee, S. Park, C.M. Ahn, and D. Kim. "Automatic generic document summarization based on non-negative matrix factorization." Information Processing and Management, 45, 20-34. 2009.

M. Porter. (2006). The Porter Stemming Algorithm. [Online]. Available: http://tartarus.org/~martin/PorterStemmer/.

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Published

2013-12-27

Issue

Vol. 8 No. 2 (2013)

Section

Articles

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